Big data Processing with Apache Spark & Scala
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This document discusses an introduction to processing big data with Scala and Spark. It provides an overview of objectives which include explaining what big data, Spark, and Scala are and why they are useful tools. It also summarizes Spark's ecosystem of tools and provides a brief introduction to getting started with Spark.
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Hadoop and SparkShravan (Sean) Pabba This document provides an overview and introduction to Spark, including:
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- Spark concepts include resilient distributed datasets (RDDs), transformations that create new RDDs lazily, and actions that run computations and return values to materialize RDDs.
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Apache spark sneha challa- google pittsburgh-aug 25th
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Apache Spark is an open source project - Hadoop-compatible computing engine that makes big data analysis drastically faster, through in-memory computing, and simpler to write, through easy APIs in Java, Scala and Python. This project was born as part of a PHD work in UC Berkley's AMPLab (part of the BDAS - pronounced "Bad Ass") and turned into an incubating Apache project with more active contributors than Hadoop. Surprisingly, Yahoo! are one of the biggest contributors to the project and already have large production clusters of Spark on YARN.
Spark can run either standalone cluster, or using either Apache mesos and ZooKeeper or YARN and can run side by side with Hadoop/Hive on the same data.
One of the biggest benefits of Spark is that the API is very simple and the same analytics code can be used for both streaming data and offline data processing.
Apache Spark 101
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https://databricks.com/blog/2016/09/27/spark-survey-2016-released.html
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- 9. Spark Community is Super Active! Slide 9 Twitter @edurekaIN, Facebook /edurekaIN, use #askEdureka for Questions www.edureka.co/apache-spark-scala-training
- 10. Spark Ecosystem MLLib (Machine learning) Spark Core Engine Aplha/Pre-alpha BlindDB (Approximate SQL) Shark (SQL) Spark Streaming (Streaming) GraphX (Graph Computation) SparkR (R on Spark) Slide 10 Twitter @edurekaIN, Facebook /edurekaIN, use #askEdureka for Questions www.edureka.co/apache-spark-scala-training
- 11. Spark Ecosystem (Contd.) An approximate query engine. To run over Core Spark Engine. Used for structured data. Can run unmodified hive queries on existing Hadoop deployment. MLLib (Machine learning) Enables analytical and interactive apps for live streaming data. Spark Core Engine Aplha/Pre-alpha BlindDB (Approximate SQL) Shark (SQL) Spark Streaming (Streaming) Graph Computation engine. (Similar to Giraph) GraphX (Graph Computation) Package for R language to enable R-users to leverage Spark power from R shell. SparkR (R on Spark) Machine learning library being built on top of Spark. Provision for support to many machine learning algorithms with speeds upto 100 times faster than Map-Reduce. Slide 11 Twitter @edurekaIN, Facebook /edurekaIN, use #askEdureka for Questions www.edureka.co/apache-spark-scala-training
- 12. A Note on Scala Scala is a general-purpose programming language designed to express common programming patterns in a concise, elegant, and type-safe way Scala supports both Object Oriented Programming and Functional Programming Scala is very much in fabric of present and Future Big Data frameworks like Scalding, Spark, Akka » All examples of Spark in class will be covered in Scala » Scala would be covered before Spark coverage as part of course! Slide 12 Twitter @edurekaIN, Facebook /edurekaIN, use #askEdureka for Questions www.edureka.co/apache-spark-scala-training
- 13. Why Scala? Scala is a pure object-oriented language. Conceptually, every value is an object and every operation is a method-call. The language supports advanced component architectures through classes and traits Scala is also a functional language. Supports functions, immutable data structures and preference for immutability over mutation Seamlessly integrated with Java Being used heavily for future Big data and we developments frameworks like Spark, Akka, Scalding, Play etc Slide 13 Twitter @edurekaIN, Facebook /edurekaIN, use #askEdureka for Questions www.edureka.co/apache-spark-scala-training
- 14. Hello Spark! Hello Spark! Slide 14 www.Twitter @edurekaIN, Facebook /edurekaIN, use #askEdureka for Questions edureka.co/apache-spark-scala-training
- 15. Questions? Buy Spark Course at : www.edureka.co Slide 15 www.edureka.Twitter @edurekaIN, Facebook /edurekaIN, use #askEdureka for Questions co/apache-spark-scala-training